Estimate Gaps Under an Intervention // Provides functions to
estimate the disparities across categories (e.g. Black and
white) that persists if a treatment variable (e.g. college) is
equalized. Makes estimates by treatment modeling, outcome
modeling, and doubly-robust augmented inverse probability
weighting estimation, with standard errors calculated by a
nonparametric bootstrap. Cross-fitting is supported. Survey
weights are supported for point estimation but not for standard
error estimation; those applying this package with complex
survey samples should consult the data distributor to select an
appropriate approach for standard error construction, which may
involve calling the functions repeatedly for many sets of
replicate weights provided by the data distributor. The methods
in this package are described in Lundberg (2021)
doi:10.31235/osf.io/gx4y3.